Machine Learning Engineer

Revelation Pharma

Machine Learning Engineer responsible for building clinically meaningful agent intelligence at Evergreen. Designing and managing ML models for clinical decision support across patient health data.

Posted 6/16/2026full-timePensacola • Florida • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $165,000 per yearWebsite

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Own the intelligence layer that makes Evergreen's agents clinically meaningful
Design, train, validate, and monitor ML models
Build evaluation and validation framework for agent-driven clinical recommendations
Develop patient risk stratification models
Implement and manage the predictive analytics pipeline on AWS
Design and build the RAG architecture
Own model lifecycle management
Build explainability layers for clinical recommendations
Collaborate with the clinical team
Establish model monitoring and alerting

Requirements

What you’ll need

6+ years in ML engineering or applied data science, with at least 3 years shipping ML models to production in a healthcare, biotech, or clinical domain
Direct experience building clinical decision support, risk stratification, or patient outcome prediction models
Production experience with LLM-based agent systems
Demonstrated ability to collaborate with clinical domain experts
Experience working in HIPAA-regulated environments
Track record of building explainable models in regulated contexts

Benefits

Comp & perks

Health care insurance (medical, dental, vision)
Life Insurance
Supplemental Insurance
PTO
401K matching
Sick leave
Phone/internet reimbursement
Remote work
Top of the line machines

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningmodel trainingmodel validationpredictive analyticsrisk stratificationmodel lifecycle managementexplainable AILLM-based systemsclinical decision supportdata science

Soft Skills

collaborationcommunication